| >Q9UKJ8 (142 residues) MAVDGTLVYIRVTLLLLWLGVFLSISGYCQAGPSQHFTSPEVVIPLKVISRGRSAKAPGW LSYSLRFGGQKHVVHMRVKKLLDDCYYHGYVEAAPESLVVFSACFGGFRGVLKISGLTYE IEPIRHSATFEHLVYKINSNET |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVDGTLVYIRVTLLLLWLGVFLSISGYCQAGPSQHFTSPEVVIPLKVISRGRSAKAPGWLSYSLRFGGQKHVVHMRVKKLLDDCYYHGYVEAAPESLVVFSACFGGFRGVLKISGLTYEIEPIRHSATFEHLVYKINSNET |
| Prediction | CCCCCCSSSHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCSSSSSSSSCCCCCCCCCCCCSSSSSSSCCSSSSSSSCCCCCCCCSSSSSSSCCCCCCSSSSSCCCCCCSSSSSSCCSSSSSSSCCCCCCCCSSSSSSCCCCC |
| Confidence | 9767524116799999999998632124457888887774699836846888777776416999998998999993355676543799998388894799670269825999989989999978999998679998246899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVDGTLVYIRVTLLLLWLGVFLSISGYCQAGPSQHFTSPEVVIPLKVISRGRSAKAPGWLSYSLRFGGQKHVVHMRVKKLLDDCYYHGYVEAAPESLVVFSACFGGFRGVLKISGLTYEIEPIRHSATFEHLVYKINSNET |
| Prediction | 7645423033323333323320122222143453762532100202303445454534432333041544512021345434431202020463541301021144102010214744020211653772401021255788 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCSSSHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCSSSSSSSSCCCCCCCCCCCCSSSSSSSCCSSSSSSSCCCCCCCCSSSSSSSCCCCCCSSSSSCCCCCCSSSSSSCCSSSSSSSCCCCCCCCSSSSSSCCCCC MAVDGTLVYIRVTLLLLWLGVFLSISGYCQAGPSQHFTSPEVVIPLKVISRGRSAKAPGWLSYSLRFGGQKHVVHMRVKKLLDDCYYHGYVEAAPESLVVFSACFGGFRGVLKISGLTYEIEPIRHSATFEHLVYKINSNET | |||||||||||||||||||
| 1 | 1olzA1 | 0.11 | 0.11 | 3.85 | 0.67 | CEthreader | VMVDGELYSGTSYNFLGSEPIISRNSSHSPLRTEYAIPWLNEPSFVFADVIRKSPGEDDRVYFFFTEVSVPRIARVCKGDTLQKKWTSFLKARLICSRPDSGLVFNVLRDVFVLVPVFYALFTPQLNNVGLSAVCAYNLSTA | |||||||||||||
| 2 | 4yuuo2 | 0.07 | 0.06 | 2.37 | 0.67 | EigenThreader | -------------TAQDVRQLEQVKGTGLANRSSKGKIFLVEEEFVDLMTRATYTLANIEGELVN-ENGT--WKFIEKDG--MDKKLVASLNNSTELGGEFKVPSYTSGRIELAVSNFVSEQLSDTDMGPKKLLLILS---- | |||||||||||||
| 3 | 6mitC | 0.14 | 0.13 | 4.33 | 0.44 | FFAS-3D | MSKTRRWVIILLSLVALILIGV-------NLDPTYKSDHYRLIAQHVEYFSDDGISWFTQPVMTTFDKDKVPTWSIKSDTNDRMLYLYGHVEVTSQDLVTLYGTTFNSSGRGNLRSKNAEL------IEKVRTSYEIQNKQT | |||||||||||||
| 4 | 3am2A2 | 0.18 | 0.13 | 4.36 | 0.71 | SPARKS-K | -------------LDLAAATERLNLTDALNS--NPAGNL------YDWRSSNSYP-WTQKLNLHLTITGQKYRILAS--KIVDFNIYSG--DGVKDHYVDISLDAGQYVLVMKANS--------SYSGNYPYILFQKFLE-- | |||||||||||||
| 5 | 5gsmA | 0.05 | 0.04 | 1.94 | 0.63 | CNFpred | ----------LHRKFVWKLKELQGVREDFEVT------PDMIVLPMEGK--------GYAYLAVTNPRGHPIKGRISYRLEVPVLLDGIELKR--RGTLYLPFGVYATATLVMWEGDVLTFRNHL---GHSEIALKGVESVK | |||||||||||||
| 6 | 5btuA | 0.10 | 0.07 | 2.63 | 0.83 | DEthreader | -----------------------------GPLDVTALVDELTEFAEKLVV----HDRGGTVEYVEVYELGTATGNAVVLK--EPHWQFHQSVSSFEAVGVIDCTALRRTQVLRVTKSGFTLAISDPNQPPHYSVQVVLC--- | |||||||||||||
| 7 | 1i78A | 0.06 | 0.05 | 2.21 | 0.66 | MapAlign | ---------------TPDNINADISLGTLSGKTKERVYLAEFDLNIKGWL--LNEPNYRLGLMAGYQEKMPYIGLTGSYRYEDFELGGTFKYSYYSVAVNAGYYNAKVYVEGANRVNKKGNTSLHNNNTSDYSNGAGIENYN | |||||||||||||
| 8 | 3n6rA | 0.12 | 0.11 | 4.00 | 0.62 | MUSTER | EGVNLPETDLRRVAAAAAAMHRVAEIRRTRVSGRMDNHERRVGTEWVVTLQGADFPVTIAAGSTVSFDDGS-SMRVTSDWTPGDQLANLMVDGAP-LVLKVGKISGGFRIRTRGADLKVHVRTPRQAELAR----LMPEKLP | |||||||||||||
| 9 | 6o38G | 0.12 | 0.09 | 3.25 | 0.46 | HHsearch | -------------------------SPSEKERLSQQQIVFNEVKVIKYDPKVIELKVGDTVKFQ-LEYGINRTGKIVEIEPVDIVRWTGRFDQGDQNFFTITQSQHYTI-QIFTEKGNYSAEIKDGV----GLVQTDEGVTD | |||||||||||||
| 10 | 3iujA3 | 0.02 | 0.01 | 1.04 | 0.64 | CEthreader | ------------------------------------------RYVGATVTE-----DDRFLLISAANSTSGNRLYVKDLSQENAP-LLTVQGDLDADVSLVDNKGSTLYLLTNRDAPNRRLVTVDPGPAHWRDLIPERQQVL | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| References: | |
| 1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |